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Applying state of the art smart sensor technology and Structure from Motion (SfM) photogrammetry for quantification of large wood (LW) movement processes and accumulation assessment in fluvial systems

Project description

Smart sensors and 3D models to assess large wood dynamics in rivers

The role of balanced amounts of Large Wood (LW) in fluvial systems is critical. It mitigates stream power, regulates sediment transport and offers a natural environment for fish and other living organisms. However, abundant quantities of LW due to sudden floods may result in disastrous effects on communities and infrastructure following blockage at structures such as bridges and weirs. Due to the lack of available methods in LW studies, little is known about transport dynamics and accumulation processes of wood in rivers. A better understanding of flow-sediment-wood interaction is instrumental for a reliable risk assessment and river and forestry management strategies. The EU-funded SmartWood_3D project will apply pioneering technologies into wood logs to conceive complex movement processes in-situ, and explore LW accumulation volume and porosity by means of 3D models.

Objective

Large wood (LW) plays an important role in fluvial systems as it moderates stream power, regulates sediment transport and provides habitat for fish and other living organisms. Besides the beneficial effects of a balanced wood budget in rivers, challenges arise for abundant quantities of accessible LW. Large quantities of wood show negative effects on stream ecology, river-crossing infrastructure and flood mitigation. The sudden and disastrous occurrence of LW during floods regularly affects communities and stream systems all over the world. Due to a lack of applicable methodologies in LW research little is known about transport dynamics of wood in rivers to date. In order to expand the current understanding of flow-sediment-wood interaction processes, especially at higher flow rates, specific and profound research is required. This project aims to utilise state of the art technologies for the application in nature sciences. Nine-degree of freedom (9-DoF) smart sensors are implanted into wood logs ‘SmartWood’, to capture complex movement processes in-situ. Furthermore, Structure from Motion photogrammetry is applied for the generation of 3D LW accumulation models, on a basis of 2D images, for precise volume, porosity and surface texture evaluation. The innovative methodologies allow for novel insights into LW movement behaviour and for quantification of wood deposits, which are often obstructing and diverting the flow. An improved understanding of LW movement processes is essential to better predict arising impacts on channel morphology, river-crossing infrastructure and environment. Gained results will contribute in a more reliable risk assessment for wood prone stream systems, advanced river and forestry management strategies under consideration of LW conveyance and filtering of critical key-logs, and to realize a concept that allows wood in rivers, as a natural and environmentally important element, consistent with modern land use and infrastructure.

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

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(opens in new window) H2020-MSCA-IF-2019

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Coordinator

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 191 149,44
Address
Raemistrasse 101
8092 Zuerich
Switzerland

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Region
Schweiz/Suisse/Svizzera Zürich Zürich
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 191 149,44
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